Sr. Forward Deployed Engineer - FDE (Fullstack)

Databricks Inc.; Zürich; Vor Ort; CHF 120.000 - 180.000; Vollzeit

Zusammenfassung

Databricks Inc. in Zürich seeks a Sr Forward Deployed Engineer to own architecture and lead design decisions for end-to-end data, AI, and application solutions. You will work with customers, embedding with their teams to deliver production-grade systems and impactful outcomes.

The role combines engineering rigor with business impact, requiring adaptability, curiosity, and strong customer empathy. Travel up to 20% and collaboration with engineering, product, and developer relations teams are

Qualifikationen

• 6+ years of experience in data engineering, data platforms & analytics, or software engineering.
• Proficient in Python, Scala, or JavaScript/TypeScript.
• Experience with two or more cloud ecosystems (AWS, Azure, GCP) and at least one.
• Deep experience with distributed computing using Apache Spark.
• Familiarity with CI/CD for production deployments.
• Knowledge of MLOps, ML/AI models, and AI APIs.
• Design and deployment of production-grade, end-to-end data architectures.
• Strong documentation and white-boarding skills.
• Experience delivering projects for enterprise clients and managing stakeholder conflicts.

Aufgaben

• Lead production solution delivery including reference architectures and data ingestion.
• Drive end-to-end big data and AI project design, build, and deployment.
• Guide customers on architecture and design; ensure secure, scalable solutions.
• Own architecture decisions aligning with customer needs and best practices.
• Collaborate with engineering and customer teams to deliver engagements.
• Provide feedback to product and support teams for rapid issue resolution.
• Embed with customer teams to understand challenges and deliver measurable impact.
• Contribute accelerators and best practices to scale across accounts.

Kenntnisse

Data engineering / analytics

Python / Scala / JS/TS coding

Cloud platforms (AWS / Azure / GCP)

Apache Spark

CI/CD for production deployments

MLOps / ML APIs

End-to-end data architecture

Customer-facing / project delivery

Documentation / white-boarding

Travel flexibility

Tools

Apache Spark

Jobbeschreibung

CSQ427R397

As a Sr Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the the company platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.

This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.

The impact you will have:

• Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration

• Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer

• Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of the company.

• Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and the company best practices.

• Work with the the company technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.

• Work with Engineering and the company Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.

• Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.

• Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the the company product roadmap.

What we look for:

• 6+ years experience in data engineering, data platforms & analytics, or software engineering

• Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks

• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one

• Deep experience with distributed computing with Apache Spark and knowledge of Spark runtime internals

• Familiarity with CI/CD for production deployments

• Working knowledge of MLOps, ML/AI models and AI APIs

• Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.

• Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.

• Documentation and white-boarding skills.

• Experience working with enterprise clients and managing conflicts across a broad stakeholder range

• Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of the company-based solutions to complete customer projects.

• Travel to customers 20% of the time

• the company Certification

About the company

the company is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the the company Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, the company offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow the company on LinkedIn, X, YouTube, and Instagram.

Benefits

At the company, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At the company, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at the company are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

ComplianceIf access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.